Mining automation refers to highly efficient autonomous equipment installation that enhances productivity and improves safety.

The market for global mining automation is expected to witness significant growth due to increased need for safety, higher productivity, and increased energy efficiency requirement and environmental sustainability. According to a Fatal Accidents in the Mining Industry Report, by Government of Western Australia Department of Mines and Petroleum, there were 52 fatal accidents over the period (2000–2012), in which 17 were underground and 35 were on the surface. Mining was primarily considered as a high risk job due to exposure to harmful vapors, flammable gases, unbalanced materials, susceptibility to fires and roof collapses, leading to serious threat to human lives. Most conventional systems are not adept at detecting the presence of the target material that needs to be mined and also any such hazards that might be lurking beneath the surface, without human intervention. Mining automation technology helps in detection of dangerous areas in underground mining by sending drones or robots, which collects samples and make a model for best outcome before attempting. Thus mining automation reduce unnecessary expenditure, avoid waste, incorporate operation and faster production rate. Deployment of automation aids in improving safety in mines as it requires less human intervention. For example, Penguin System is robotic system used for determining exact path to follow within a rock mass in real-time, with the help of synthetic rocks, for ensuring safety of workers and replacing manual labor. Automated underground vehicles based on laser technology, can be utilized to monitor leg pressure and analyze performance. Thus, mining automation enhances individual safety of mine workers.

Additionally, driverless haulage trucks, semi-automatic load haul dump truck (LHD), automatic load haul dump truck (LHD), and environmental monitoring systems, among others, are key equipment used in mining automation. Radio Frequency Identification System (RFID), Real Time Sensing System (RTSS), and wireless mesh networking technology with Real Time Locating System (RTLS) are used for better communication in underground mines.

The key factor that is expected to restrain growth of global mining automation market is reduction of natural resources.

Mining Automation Market Taxonomy

On the basis of product type, the global mining automation market is segmented into:

  • Equipment
    • Smart Ventilations System
    • Autonomous Hauling Truck
    • Pumping Stations
    • Autonomous Drilling Rig
    • Underground LHD Loader
    • Tunneling Equipment
    • Others
  • Software
    • Fleet Management
    • Workforce Management
    • Proximity Detection and Collision Avoidance System
    • Remote Operating and Monitoring
    • Air Quality and Temperature Monitoring System
    • Data Management
    • Others
  • Communications systems
    • Wireless Mesh Networks
    • Navigation System
    • Radio-Frequency Identification (RFID)

On the basis of technology, the global mining automation market is segmented into:

  • Surface Mining Technique 
  • Underground Mining Technique

On the basis of workflow, the global mining automation market is segmented into:

  • Mine development
  • Mining process
  • Mine maintenance

Mining Automation Market: Regional Insights

The global mining automation market is segmented on the basis of regions into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. The market for mining automation in Asia Pacific accounted for largest share in the global market in 2016. This growth is attributed to increasing exploration activities in Australia and presence of leading mining companies, which includes Rio Tinto, Fortescue Metals Group, and BHP Billiton. According to a leading digital publication covering the global mining sector, among minerals gold is the leading sector accounted 45% of the total exploration expenditure in 2016, but from 2017 expenditure in base materials such as copper, nickel, and zinc among others are increasing. In 2017, Australian government announced to invest US$ 79.8 million to small and medium sized mining companies for encouraging exploration.

Moreover, Western Australia have already been started using automated mining equipment. For example, The Morobe Mining Joint Venture (MMJV) set up a new flotation control system that aids in adjustment of mass balances. The Australian Centre for Field Robotics (ACFR) collaborated with Rio Tinto, for the establishment of the Rio Tinto Centre for Mine Automation (RTCMA) in 2007 through to 2019. The purpose of RTCMA is to improve and implement the visualization of an entirely autonomous, remotely operated mine.

According to the Government of Australia’s Department of Industry report in 2014, Australia’s largest goods producing industry is mining, contributing 8.3% towards GDP. Mining equipment and technology & services recorded the strongest average annual growth in business expenditure on R&D of 14.2%, over the period 2006–07 to 2011–12. These are the factors for growth of the regional mining automation market.

Mining Automation Market: Competitive Background

Major players operating in the global mining automation market include Caterpillar, Inc., Komatsu Ltd., Sandvik, Atlas Copco, Hexagon AB, Hitachi, Ltd., RPMGlobal Holdings Limited, Trimble Inc., Autonomous Solutions Inc., Fluidmesh Networks LLC, MST Global, and Symboticware Inc.


Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

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Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
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  • Environmental indicators
  • Socio-political indicators
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Data Processing

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Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users